3 citations · 3 across the 2 of their papers we have counts for
4 papers · 1 filter
Fully Using Classifiers for Weakly Supervised Semantic Segmentation with Modified Cues
Ting Sun, Lei Tai, Zhihan Gao +2
This paper proposes a novel weakly-supervised semantic segmentation method using image-level label only. The class-specific activation maps from the well-trained classifiers are us…
Semi-Semantic Line-Cluster Assisted Monocular SLAM for Indoor Environments
Ting Sun, Dezhen Song, Dit-Yan Yeung +1
This paper presents a novel method to reduce the scale drift for indoor monocular simultaneous localization and mapping (SLAM). We leverage the prior knowledge that in the indoor e…
Point-cloud-based place recognition using CNN feature extraction
Ting Sun, Ming Liu, Haoyang Ye +1
This paper proposes a novel point-cloud-based place recognition system that adopts a deep learning approach for feature extraction. By using a convolutional neural network pre-trai…
Fine-Grained Categorization via CNN-Based Automatic Extraction and Integration of Object-Level and Part-Level Features
Ting Sun, Lin Sun, Dit-Yan Yeung
Fine-grained categorization can benefit from part-based features which reveal subtle visual differences between object categories. Handcrafted features have been widely used for pa…